{"id":"W7039581668","doi":"","title":"Modeling, Analysis, and Design of 5G Ultra-Dense Networks","year":2019,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Set (abstract data type); Key (lock); Context (archaeology); Field (mathematics); Process (computing); Perspective (graphical)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008007231,0.0001431443,0.0002832701,0.0004754847,0.0001044733,0.00002384415,0.0003276457,0.0001928877,0.0001132252],"category_scores_gemma":[0.00005840996,0.0001556971,0.0001827737,0.0008006184,0.0001878799,0.00001657379,0.0001955396,0.0002546958,0.000005559654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002300053,"about_ca_system_score_gemma":0.0001015735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102285,"about_ca_topic_score_gemma":0.00005404864,"domain_scores_codex":[0.998296,0.0002992195,0.0001765902,0.0004926451,0.0003599973,0.0003754995],"domain_scores_gemma":[0.998741,0.00004155582,0.00006924246,0.0005833613,0.0004093925,0.0001554978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001474551,0.0007167873,0.131684,0.000173181,0.005950271,0.0004987592,0.0002519102,0.1416018,0.700902,0.001296792,0.0135901,0.001859781],"study_design_scores_gemma":[0.003836847,0.003595359,0.01446711,0.0001463315,0.00243805,0.00003220472,0.003658827,0.2953816,0.6597665,0.0003135546,0.01414936,0.002214279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8598034,0.000130709,0.1340474,0.00007498037,0.000007953492,0.0004364708,0.0000103126,0.00003003015,0.005458716],"genre_scores_gemma":[0.9926468,0.001486546,0.0009272708,0.00001435839,0.00002743779,8.61317e-7,0.0001145225,0.00001490542,0.004767309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1537798,"threshold_uncertainty_score":0.6349143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314731352944907,"score_gpt":0.2718982442374021,"score_spread":0.258750930707953,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}